Hybrid AI Security Engineer — AWS & AI Governance

Structure Therapeutics, Inc.; South San Francisco, Northern (CA, KY); Hybrid; USD 147,000 - 185,000; Full time

Benefits offered by this job

medical

dental

vision insurance

401k match

unlimited PTO

paid holidays including wintershutdown

Job summary

Structure Therapeutics, Inc. is seeking an AI Security Engineer to design, implement, and maintain security for our AI/ML platform on AWS. You will secure AI models, data pipelines, and infrastructure while helping develop AI governance and security policies.

The role requires strong cybersecurity experience, familiarity with AI/ML systems, and cloud security expertise, especially in AWS environments. Hybrid work from the San Francisco Bay Area is preferred.

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or a related field. Master’s degree preferred.
• 5+ years of experience in cybersecurity, with at least 2 years focused on securing AI/ML systems or cloud-based environments.
• Hands‑on experience with AWS security tools and services (e.g., AWS IAM, KMS, CloudTrail, GuardDuty).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their security implications.
• Experience developing or implementing security policies and governance frameworks.
• Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and their application to AI systems.

Responsibilities

• AI/ML Security Design and Implementation: Develop and implement security controls for AI/ML models, including data protection, model integrity, and adversarial attack mitigation.
• Cloud Security: Design and maintain secure AWS architectures for AI/ML workloads, leveraging services like AWS SageMaker, Lambda, and S3.
• AI Governance and Policy Development: Collaborate to develop AI governance frameworks, including ethical AI use and risk management.
• Collaboration and Support: Work with Data Engineers, ML Engineers, and DevOps Engineers to embed security into the AI/ML lifecycle.
• Threat Monitoring and Incident Response: Monitor AI/ML systems for threats, develop incident response plans, stay updated on AI security threats.

Skills

AWS security

Cloud security

Secure coding

Vulnerability management

Python

Bash

DevOps tools

Kubernetes

AI/ML security

Education

Bachelor’s degree in Computer Science or related

Master’s degree preferred

Tools

AWS IAM

KMS

CloudTrail

GuardDuty

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Structure Therapeutics, Inc. is seeking an AI Security Engineer to design, implement, and maintain security for our AI/ML platform on AWS. You will secure AI models, data pipelines, and infrastructure while helping develop AI governance and security policies.

The role requires strong cybersecurity experience, familiarity with AI/ML systems, and cloud security expertise, especially in AWS environments. Hybrid work from the San Francisco Bay Area is preferred.